230 computer-science-intern "https:" "https:" "https:" "https:" uni jobs at Stanford University
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telephone or in-person interviews to gather data, as needed. Administer standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform
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improving internal controls; processing fund transfers; adjusting labor schedules; and advising staff and faculty on finance matters. This position is based on Stanford’s main campus and will be eligible
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, residents, postdocs, and fellows. We aim to recruit, support, retain, and promote diversity in our department. For more information on our department, please see our website: https://med.stanford.edu
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and interact with internal and external customers. Directly supervise and provide guidance and development to individual contributors, including contractors and matrixed staff, external
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in-person interviews to gather data, as needed. Administer standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative
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improvement for immediate unit. Analyze unit needs and make recommendations to leadership for changes in staffing, facilities, health and safety compliance, finance, technology and/or administrative functions
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: Special Sworn Status (US Census Bureau) DESIRED REQUIREMENTS: Master’s in Economics PHYSICAL REQUIREMENTS*: Frequently stand/walk, sitting, grasp lightly/fine manipulation, perform desk-based computer tasks
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Department. Computer Science website: https://cs.stanford.edu / Within the Stanford Artificial Intelligence Lab (SAIL ), the Stanford IRIS (Intelligence through Robotic Interaction at Scale) focuses
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Stanford University is seeking a full-time Assistant Clinical Research Coordinator to join their expanding clinical research program in the Division of Pulmonary, Allergy, and Critical Care Medicine
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. The Stanford Vision and Learning Lab (SVL) at SAIL within the Computer Science Department addresses the theoretical foundations and practical applications of computational vision. We are focused on discovering